Python and Data Handling for Everyone 2021 Mastery Bootcamp
Data science is a huge field, and one of the promising fields that is spreading in a fast way, also, it is one of the very rewarding, and it is increasing in expansion day by day, due to its great importance and benefits, as it is the future.
Data science enables companies to measure, track, and record performance metrics for facilitating and enhancing decision making. Companies can analyze trends to make critical decisions to engage customers better, enhance company performance, and increase profitability.
And the employment of data science and its tools depends on the purpose you want from them.
For example, using data science in health care is very different from using data science in finance and accounting, and so on. And I’ll show you the core libraries for data handling, analysis and visualization which you can use in different areas.
One of the most powerful programming languages that are used for Data science is Python, which is an easy, simple and very powerful language with many libraries and packages that facilitate working on complex and different types of data.
This course you will cover:
- Python tools for Data Analysis
- Python Basics
- Python Fundamentals
- Python Object-Oriented
- Advanced Python Foundations
- Data Handling with Python
- Numerical Python(NumPy)
- Data Analysis with Pandas
- Data Visualization with Matplotlib
- Advanced Graphs with Seaborn
- Instructor QA Support and Help
HD Video Training + Working Files + Resources + QA Support.
What you’ll learn
Code with Python Programming Language
Python Functional Programming
Structure Data using collection containers
Advanced Python Foundations
Handling Data with Python Libraries
Extracting and Analyzing data from different resources
Data Analysis with Pandas
Data Visualization using matplotlib
Advanced Visualization with Seaborn
Build Python solutions for data science
Get Instructor QA Support and help